Mostafa Rahimi Azghadi
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"Mostafa Azghadi"Mean distance: 17.59 (cluster 17) | S | N | B | C | P |
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| Asgari H, Maybodi BM, Payvand M, et al. (2020) Low-energy and fast spiking neural network for context-dependent learning on FPGA Ieee Transactions On Circuits and Systems Ii-Express Briefs. 1-1 |
| Almasi M, Karimi G, Ranjbar M, et al. (2020) New analogue stop-learning control module using astrocyte for neuromorphic learning Iet Circuits Devices & Systems. 14: 100-106 |
| Hashemi S, Azghadi MR, Navi K. (2019) Design and analysis of efficient QCA reversible adders The Journal of Supercomputing. 75: 2106-2125 |
| Aghnout S, Karimi G, Azghadi MR. (2017) Modeling triplet spike-timing-dependent plasticity using memristive devices Journal of Computational Electronics. 16: 401-410 |
| Azghadi MR, Linares-Barranco B, Abbott D, et al. (2016) A Hybrid CMOS-Memristor Neuromorphic Synapse. Ieee Transactions On Biomedical Circuits and Systems |
| Azghadi MR, Moradi S, Fasnacht DB, et al. (2015) Programmable spike-timing-dependent plasticity learning circuits in neuromorphic VLSI architectures Acm Journal On Emerging Technologies in Computing Systems. 12 |
| Azghadi MR, Iannella N, Al-Sarawi SF, et al. (2014) Spike-based synaptic plasticity in silicon: Design, implementation, application, and challenges Proceedings of the Ieee. 102: 717-737 |
| Azghadi MR, Al-Sarawi S, Iannella N, et al. (2013) A new compact analog VLSI model for Spike Timing Dependent Plasticity Ieee/Ifip International Conference On Vlsi and System-On-Chip, Vlsi-Soc. 7-12 |
| Azghadi MR, Al-Sarawi S, Abbott D, et al. (2013) Pairing frequency experiments in visual cortex reproduced in a neuromorphic STDP circuit Proceedings of the Ieee International Conference On Electronics, Circuits, and Systems. 229-232 |
| Azghadi MR, Al-Sarawi S, Iannella N, et al. (2012) Efficient design of triplet based Spike-Timing Dependent Plasticity Proceedings of the International Joint Conference On Neural Networks |